期刊论文详细信息
Energies
Study on the Optimal Charging Strategy for Lithium-Ion Batteries Used in Electric Vehicles
Shuo Zhang2  Chengning Zhang2  Rui Xiong1  Wei Zhou2 
[1] National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian District, Beijing 100081, China;
关键词: electric vehicles (EVs);    lithium-ion battery;    dynamic programing (DP);    charging strategies;    database;   
DOI  :  10.3390/en7106783
来源: mdpi
PDF
【 摘 要 】

The charging method of lithium-ion batteries used in electric vehicles (EVs) significantly affects its commercial application. This paper aims to make three contributions to the existing literature. (1) In order to achieve an efficient charging strategy for lithium-ion batteries with shorter charging time and lower charring loss, the trade-off problem between charging loss and charging time has been analyzed in details through the dynamic programing (DP) optimization algorithm; (2) To reduce the computation time consumed during the optimization process, we have proposed a database based optimization approach. After off-line calculation, the simulation results can be applied to on-line charge; (3) The novel database-based DP method is proposed and the simulation results illustrate that this method can effectively find the suboptimal charging strategies under a certain balance between the charging loss and charging time.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.

【 预 览 】
附件列表
Files Size Format View
RO202003190020582ZK.pdf 457KB PDF download
  文献评价指标  
  下载次数:9次 浏览次数:44次